A 2006 graduate level introduction to modern computational tools for the analysis of biological data using S-PLUS.
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Derek A. Roff is a Professor in the Department of Biology at the University of California, Riverside.
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Da: WeBuyBooks, Rossendale, LANCS, Regno Unito
Condizione: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. Codice articolo wbs7906847982
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New. Codice articolo ABLIING23Feb2416190009295
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
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Da: BookAddiction (IOBA, IBooknet), Canterbury, Regno Unito
Softcover. Condizione: Very Good. 368pp. Pictorial laminated light card covers. 8vo. Light chipping to edges and wear to covers, corners starting to curl; crease to top front corner. Previous owner's label on title page. Internally, neat, clean, bright and tight. Codice articolo 026696
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter. This 2006 graduate text introduces some of the most common computer-intensive methods, including Maximum Likelihood, Monte Carlo and Bayesian methods. Examples of their application using biological data are provided, along with a series of software instructions for the statistical software package S-PLUS and problems and solutions are included to aid understanding. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521608657
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 1st edition. 368 pages. 9.25x6.75x0.50 inches. In Stock. This item is printed on demand. Codice articolo __0521608651
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Paperback. Condizione: New. Codice articolo 6666-IUK-9780521608657
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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